VoxLoom is an AI-driven customer-support platform that delivers human-quality, voice-first interactions over traditional telephony and popular messaging channels (Slack, WhatsApp, Telegram). Customers call or message as they normally would; behind the scenes, our Telephony AI Agent powered by the best models/SDKs (e.g OpenAI, Sarvam, Gemini, Grok), handles routine inquiries end-to-end, escalates only the most complex issues to human agents, and automatically captures structured call data into CRMs or ticketing systems. Our modular design lets enterprises choose their preferred speech engine or language model, while a centralized dashboard provides real-time analytics, call summaries, and compliance controls tailored for India’s regulatory environment.
Startup Description
Founded in 2025 by a team of seasoned full-stack and AI engineers, VoxLoom was born out of firsthand experience with stalled customer-care automation projects at leading telcos. We’ve already validated strong demand, warm leads from Airtel, Jio Haptic, and major e-commerce players, and assembled a complete tech squad with expertise in Flutter, FastAPI, Python, ML pipelines, and VoIP integration. We’re now seeking the right business co-founder and seed funding to accelerate our MVP launch, close pilot deals with large enterprises, and build a scalable go-to-market engine. Our vision is to become the de-facto AI-first support layer for India’s $20B+ contact-center industry and then expand across Southeast Asia and beyond.
Business Model
Per-hour usage fees: $0.35 - $0.50/hour for AI-handled voice and chat interactions, billed monthly.
Enterprise subscriptions: Tiered plans (Standard, Pro, Enterprise) that bundle a baseline number of agent seats, integrations (CRM, analytics), support SLAs, and premium voice-SDK credits.
Professional services & integrations: One-time fees for custom setup, workflows, compliance configuration, and legacy-system bridging.
Revenue drivers: Upsells for advanced analytics modules, multilingual voice packs, and add-on connectors (e.g., custom NLP for domain-specific intents).
This model aligns customer success directly with usage, incentivizes adoption, and ensures predictable recurring revenue as call volumes grow.
Customers
based in
Middle East & North Africa, Africa (excluding North Africa), Australia & New Zealand (Oceania), North America, South Asia, Southeast Asia, East Asia, Europe, India, Latin America
Business
Modal Type
SaaS
Type of
Sales
B2B, B2C
Competitors
VAPI
• AI voice-agent platform with solid Indian language coverage
• Primarily standalone bot deployments
• Minimal native CRM or ticketing integrations
Retell
• Offers both voice and chat bots
• Excels in English NLP, but limited support for regional dialects
• Focuses on self-service; seamless human hand-off is secondary
Legacy IVR & BPO Providers
• Depend on rigid menu trees and manual data entry
• High overhead, subpar user experience
• Lack genuine AI automation
Note: Rather than compete on TTS, we’ll integrate best-in-class SDKs (ElevenLabs, VAPI, Bland) so customers can select their preferred voice engine.
Teams
Vetrichelvan
Founder & CTO
Chandramouli
Founding Fullstack Engineer
Vignesh
Founding Backend Engineer
Ghunal
Founding Backend Engineer
Tell us a bit about how founding team knows
each other.
We met as college mates during our university days, collaborating on hackathons and open-source projects, and developed a strong partnership grounded in complementary skills and mutual trust.
Why did you decide to start this
company?
After chronic inefficiencies in Indian customer support long hold times, clunky IVRs, ineffective bots we applied technical expertise to build a robust AI-driven solution transforming customer care.
Are all the founders full-time on this
project?
Yes
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